McKinsey & Company
McKinsey & Company The future of mobility is NOW! Breakout - - PowerPoint PPT Presentation
McKinsey & Company The future of mobility is NOW! Breakout - - PowerPoint PPT Presentation
McKinsey & Company The future of mobility is NOW! Breakout session 14 th November 2019 CONFIDENTIAL AND PROPRIETARY Any use of this material without specific permission of McKinsey & Company is strictly prohibited Agenda Phasing for
CONFIDENTIAL AND PROPRIETARY Any use of this material without specific permission of McKinsey & Company is strictly prohibited
Breakout session
14th November 2019
The future of mobility is NOW!
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Agenda
Phasing for our session
Opening comments and introductions Thoughts from Laurel Powers-Freeling, Uber, and Q&A Thoughts from Shashi Verma, Transport for London, and Q&A Panel discussion and Q&A —Laurel, Shashi, Swarna Ramanathan (McKinsey) and James Stamp (National Express)
McKinsey & Company
4 McKinsey & Company
Seamless mobility Baseline Business as usual Unconstrained autonomy
Baseline city faces challenges today, with trip times averaging over 30 minutes, congestion rising, and air quality challenges Urbanisation and population growth increase passenger km demand, with limited regulatory/city government shaping of the future. Pace
- f electrification and
automation disappoints. Electrification and automation take off, but regulators and city governments fail to keep up. Robo-taxis take a greater share than AV shuttles, contributing to congestion. Cities encourage the use of shared AVs through regulation and incentives. Residents ‘mix and match’ rail transit and low-cost, point to point autonomous travel in AV shuttles easily
SOURCE: McKinsey Center for Future Mobility
How could the future look in 2030?
10% 10% 15% Congestion, time per trip, delta from baseline
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Agenda
Phasing for our session
Opening comments and introductions Thoughts from Laurel Powers-Freeling, Uber, and Q&A Thoughts from Shashi Verma, Transport for London, and Q&A Panel discussion and Q&A —Laurel, Shashi, Swarna Ramanathan (McKinsey) and James Stamp (National Express)
McKinsey & Company 6
Agenda
Phasing for our session
Opening comments and introductions Thoughts from Laurel Powers-Freeling, Uber, and Q&A Thoughts from Shashi Verma, Transport for London, and Q&A Panel discussion and Q&A —Laurel, Shashi, Swarna Ramanathan (McKinsey) and James Stamp (National Express)
EVERY JOURNEY MATTERS
Innovating for cities
Shashi Verma Director of Strategy and Chief Technology Officer Transport for London EVERY JOURNEY MATTERS
What are the growth markets for transport in London
Public transport has seen very substantial growth in London, removing the needs for car trips Cycling has seen the fastest growth, starting from a small base
80 100 120 140 160 180 200 220 240 Index: 2001 = 100 Rail Underground Bus Car driver Population Cycle
Growth in selected modes of travel
Car 36% Walk 24% Bus (including tram) 14% Rail 11% Underground/DLR 11% Cycle 2% Taxi 1% Motorcycle 1%
How do people travel?
Most innovation talk is about areas that don’t matter much for how cities work. The only significant exception is autonomous vehicles, as and when they are made viable Share of all trips by mode of travel Total = 26.9 million trips per day
What drives investment?
Innovation needs to focus on not just what is cool but also what is useful. There is no money in being cool alone.
Cool Useful Rail Buses e-Scooter Drones Autonomous vehicles
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Agenda
Phasing for our session
Opening comments and introductions Thoughts from Laurel Powers-Freeling, Uber, and Q&A Thoughts from Shashi Verma, Transport for London, and Q&A Panel discussion and Q&A —Laurel, Shashi, Swarna Ramanathan (McKinsey) and James Stamp (National Express)
McKinsey & Company
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What role can we all play in creating seamless mobility?
Optimise supply Optimise demand
Shift to shared modes
▪ Dedicated lanes for shared vehicles ▪ Bikes and e-scooters for last-mile ▪ Active management
- f the for-hire fleet
Shifting demand off-peak
▪ Congestion pricing ▪ Commercial deliveries
Optimise rail
▪ Autonomous train operations ▪ Advanced signaling ▪ Predictive maintenance
Optimise road modes
▪ Intelligent traffic systems ▪ Smart parking ▪ AV-readiness
Improve sustainability
Electrify transit Low-emission zones
McKinsey & Company
13 McKinsey & Company SOURCE: McKinsey (FoM 3 Urban Mobility Model). Figures are rounded to nearest 5%.
5% 125 40% 25% 35% 35% 20% 115 Baseline 20% 40% 5% Business as usual urbanization 5% 15% 25% 10% Unconstrained autonomy 40% 5% 5% 10% 20% 40% Seamless mobility 1001 130
The modal share by scenario for a city like London
10% Urban leaders and private companies have an opportunity to actively shape the transit system over the next decade, reducing congestion by 10% from today even while accommodating 30% more traffic Train Bus2 Car Walk/bike Amount of mobility in example dense metropolitan area, Passenger km/yr1 10% 15% AV Shuttle Robotaxi Private Car Walk/bike Train
1 Mobility demand indexed as baseline = 100
Congestion, time per trip